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We investigate the potential of nanovacuum devices utilizing graphene edges as field emitters, with their work function modulated by a nearby gate on the graphene surface. Unlike metals, the semi-metallic nature of graphene enables modulation of the Fermi level and work function via the surface field. This modulation alters the potential barrier for field emission. Our simulation study reveals that device operation critically depends on two screening factors—horizontal and vertical. Horizontally, work function modulation occurs when the emitter edge is within the critical screening length from the gate edge. Vertically, the effectiveness of work function modulation diminishes beyond the second layer of multi-layer graphene due to surface field screening by the first layer. Our simulations demonstrate that maintaining the vacuum channel on tens of nanometer scale enables transistor-like operation of the device, with remarkably high cut-off frequencies and maximum oscillation frequencies ranging from 0.45 to 0.71 and 32.9 to 40.5 THz, respectively, under source–drain bias from 90 to 100 V. [ABSTRACT FROM AUTHOR]

Traditional LEDs emit light that exhibits incoherence and displays a Lambertian distribution. To achieve linearly polarized (LP) light and control the emission direction, a variety of optical components are required to be stacked, which is unsuitable for compact applications and results in low deflection efficiency. Here, we propose and and numerically simulate a novel single-chip micro-resonant cavity LED (micro-RCLED) device that generates directional LP light by integrating a continuous metasurface. This device includes a bilayer grating at the GaN layer's bottom, providing high transverse electric (TE) reflectivity above 89.5% and an extinction ratio exceeds 57 dB at 500 nm. The top distributed Bragg reflector (DBR) and the bilayer grating together constitute a TE mode Fabry–Pérot resonant cavity. This not only promotes the emission of the TE wave, but also guarantees its collimation with the appropriate phase, thereby enhancing its spatial coherence. A functional metasurface above the DBR layer precisely controls the TE wave's deflection angle. It maintains a low aspect ratio while enabling efficient, large-angle deflection. The simulation results demonstrate that this device provides an effective solution for generating highly spatially coherent directional LP light, with broad potential applications in fields such as polarized light imaging and advanced 3D micro-LED display systems. [ABSTRACT FROM AUTHOR]

Sweden was one of the first countries to introduce a carbon tax back in 1991. We assemble a unique data set tracking CO2 emissions from Swedish manufacturing firms over 26 years to estimate the impact of carbon pricing on firm-level emission intensities. We estimate an emission-to-pricing elasticity of around two, with substantial heterogeneity across subsectors and firms, where higher abatement costs and tighter financial constraints are associated with lower elasticities. A simple calibration suggests that 2015 CO2 emissions from Swedish manufacturing would have been roughly 30% higher without carbon pricing. [ABSTRACT FROM AUTHOR]

Physical vapor deposition (PVD) provides a route to prepare highly stable and anisotropic organic glasses that are utilized in multi-layer structures such as organic light-emitting devices. While previous work has demonstrated that anisotropic glasses with uniaxial symmetry can be prepared by PVD, here, we prepare biaxially aligned glasses in which molecular orientation has a preferred in-plane direction. With the collective effect of the surface equilibration mechanism and template growth on an aligned substrate, macroscopic biaxial alignment is achieved in depositions as much as 180 K below the clearing point TLC−iso (and 50 K below the glass transition temperature Tg) with single-component disk-like (phenanthroperylene ester) and rod-like (itraconazole) mesogens. The preparation of biaxially aligned organic semiconductors adds a new dimension of structural control for vapor-deposited glasses and may enable polarized emission and in-plane control of charge mobility. [ABSTRACT FROM AUTHOR]

To control the emission of SO2 from flue gas into the atmosphere while considering the capture and collection of greenhouse gas CO2, the adsorption behavior of a binary mixture of SO2 and other gases in flue gas (O2/N2/H2O/CO 2) in (10, 10) carbon nanotube (CNT) was simulated using grand canonical Monte Carlo (GCMC) simulation. The adsorption and separation performance of SO2 in CNTs with a diameter range of 0.81–1.63 nm for the five-component mixture gas was also analyzed. The findings suggest that the adsorption and separation of SO2 are primarily influenced by CO2 (reduction of adsorption capacity by about 50%, separation coefficient of SO2/CO2 is lowest) with this effect being more pronounced under high pressure. Meanwhile, it was observed that CNTs with larger pipe diameters exhibit higher SO2 adsorption capacity, but relatively lower SO2/CO2 selectivity and lower stability. On the other hand, CNTs with smaller diameters have relatively lower adsorption capacity for SO2, but exhibit good selectivity and stability (under different pressure) for SO2/CO2. Based on the statistical analysis of SO2 adsorption capacity and SO2/CO2 selectivity, it was determined that (6, 6) CNT with a diameter of 0.81 nm can exhibit excellent SO2 adsorption and separation performance at atmospheric pressure, while appropriate large diameter CNTs should be selected for flue gas treatment under high pressure. [ABSTRACT FROM AUTHOR]

The continuous growth of wind power technology makes condition monitoring of wind turbine components crucially important for their operational efficiency. The main shaft bearings in wind turbines have been identified as one of the most critical components in the system, especially with the ongoing increase in rotor size and weight. This increase made the 4-point suspension drivetrain more preferable. In this study, we present a novel approach for condition monitoring of the main shaft bearings in a 2 Megawatt wind turbine with 4-point suspension drivetrain using primarily acoustic emission (AE). The focus was on the analysis of time and frequency domains of the AE signal, where the dominant frequency of each AE hit was identified and plotted back in the time domain to create the so-called dominant frequency map in specific time intervals for each bearing. A comparison between the two dominant frequency maps of the two bearings gives valuable insights into the condition of the two bearings. The distinctive nature of the dominant frequency bands in the dominant frequency maps presented promising potential for this method. The presented method is straightforward and can be automated and then integrated into a planned predictive maintenance programme for this wind turbine. [ABSTRACT FROM AUTHOR]

The shipping sector has been incorporated into the European Union Emissions Trading System (EU-ETS). Undoubtedly, the carbon emission factor is a critical consideration when determining carbon allowances in the EU-ETS, known as EU Allowances (EUAs). In this study, an all-performance carbon emission test was conducted on a marine LNG engine to investigate the differences between the actual carbon emission factor and the reference value. It was observed that the actual carbon emission factor is smaller than the reference value. The test results indicate a discrepancy of approximately 3%, resulting in potential savings of 10,000 to 20,000 dollars in EUAs for a ship consuming 2000 tonnes of LNG fuel annually. Furthermore, variations in the carbon emission factor were observed under different engine operational conditions, fluctuating by around 2% at constant revolutions per minute (RPM). This suggests the need for more suitable emission testing methods to accurately reflect actual emissions and better achieve emission control goals. • Differences of carbon emission factor between bench test and the reference value was analysed. • Cost reduction of EUAs based on the differences was analysed. • Carbon emission characteristics under all performance conditions were explored. • Carbon emission factor varies with operational conditions of the engines. [ABSTRACT FROM AUTHOR]

Atmospheric nitrogen (N) deposition has experienced significant change because of anthropogenic emissions, thereby exerting a pronounced impact on global ecosystem services. With the rapid development of industry and agriculture and the swift expansion of urban areas in China since the 1980s, reactive nitrogen (Nr) emissions and N deposition have substantially increased. In pursuit of improving air quality, China has implemented a series of environmental protection policies and undertaken diverse measures to reduce pollutant emissions. This paper is a review of multivariate data sources of atmospheric N deposition based on the results of literature from 1980 to 2023, and the original data from 1980 to 2020 are summarized, counted and calculated. The main findings are as follows: 1) the annual average atmospheric N deposition ranged from approximately 20–40 kg/(ha·yr), with the variability primarily linked to different assessment methods; 2) regional disparities were evident in the spatial distribution of N deposition, with elevated values concentrated in areas with intense Nr emissions; 3) atmospheric N deposition significantly declined after 2010, particularly the deposition of oxidized N, while reduced N deposition remained stable. These results reflect the effects of China's serious control policies on nitrogen oxide (NOx) emissions and strengthen the importance of agricultural NH3 emission mitigation. This study contributes to a comprehensive understanding of the N dynamics in the emission-deposition process, and provides a scientific foundation for the research of environmental protection, climate change, and sustainable development. [ABSTRACT FROM AUTHOR]

Anthropogenic Nitrogen oxides (NOx = NO2 + NO) emissions are highly concentrated in urban area, and the weekly cycles, seasonal patterns and long-term trends of tropospheric NO2 columns over cities differ from region to region due to different emission sectoral compositions and human activities. In this study, we used satellite observed tropospheric NO2 column data to compare the long-and short-term NO2 column density time series over cities in the United Sates (the U.S.), western Europe and China. The results showed that in all the targeted cities, the outbreak of the Corona Virus Disease in 2019 (COVID-19) moved the December peak of the city-level NO2 columns forward to November and October or even earlier in 2020 and 2021. On weekly level, cities in the U.S. show the lowest NO2 columns ratio on weekend/work day, then come the western European cities, and a weak weekly pattern is seen in Chinese cities. For all the cites, we find a higher weekend/work day NO2 ratio in cold seasons than in warm seasons, indicating a higher contribution from NOx emission sectors of residential, industry and power plants in the warm seasons. In the long-term, NO2 columns over the U.S. and western European cities declined by a fraction twice that of the regional mean level from 2004 to 2021. In China, NO2 columns started to decrease since 2012, at a similar rate between the city and regional level. This work confirms the importance to quantify and control NOx emissions from cities. [ABSTRACT FROM AUTHOR]

Frequent mining operations significantly disturb the security of deep weakly cemented rock roadways in western mining areas, constituting one of the primary causes of deformation, instability, and failure within the coal‐rock body. In this paper, dynamic uniaxial compression tests of soft rock‐coal combinations under low‐frequency disturbance with different cyclic amplitudes were conducted based on acoustic emission to elucidate fracture modes. The findings are as follows: Different cycle amplitudes manifested significant degradation effects on the soft rock‐coal combination. With increasing cycle amplitude, the proportion of tensile cracks initially decreased before subsequently increasing, demonstrating a general upward trajectory. The sudden increase in the acoustic emission RA value, the large decrease in the b‐value, and AE counts reaching the peak mean that failure and destabilization of the specimen begin to occur. The results of this study will furnish theoretical direction for dynamic disaster monitoring and early warning in soft rock mines located in western mining regions. Highlights: The failure behavior of soft rock‐coal combination under low‐frequency disturbance with different cyclic amplitudes was investigated.The changes of acoustic emission RA and b value can be used as precursor warning information for dynamic damage of soft rock‐coal combination.The failure during low‐frequency disturbance increases gradually, and the growth rate increases with the increase of amplitude. [ABSTRACT FROM AUTHOR]

The application of recycled aggregate is crucial for waste concrete recycling, while the loading rate significantly influences the fracture behavior of recycled aggregate concrete. Herein, we investigate the effect of loading rate on the flexural and fracture behaviors of recycled aggregate concrete, along with associated acoustic emission characteristics. Results show that the flexural strength and energy absorption capacity maximum increase by 15.18% and 38.39%, respectively, as the loading rate rises. As the loading rate increases from 0.05 to 1 mm/min, peak frequency is primarily clustered in 0 ~ 75 kHz and 75 ~ 225 kHz and tends to be dense, while the b value decreases by 19.28%, 23.30%, and 30.17%, respectively. Additionally, the proportion of shear failure also decreases, which relates to the high energy release rate. Further, the multifractal spectrum α − f(α) resembles a quadratic distribution, with both multifractal intensity ∆f and spectrum width ∆α showing a downward trend as the loading rate rises. Highlights: Interaction of loading rate and recycled coarse aggregate is investigated.Rate effect on flexural and fracture behaviors is analyzed.AE response to rate‐dependent flexural behaviors is analyzed.Rate‐dependent multifractal characteristics of AE signals are explored. [ABSTRACT FROM AUTHOR]

We consider a manufacturer that produces in response to a stochastic demand and emits pollution during the production process. Industrial pollutants released into the air are characterised by spatial variability and heterogeneity, and the precision of instruments for measuring stochastic pollution stocks varies widely across pollutants. Consequently, commitment (open-loop) strategies to control production and associated emissions are considered more practical than contingent (feedback) approaches when manufacturers are concerned about environmental consequences. In this article, we derive an optimal, open-loop control policy over an infinite time horizon and show a condition that ensures that such a policy induces asymptotic convergence of expected inventory stock and pollution stock trajectories to unique steady states. Moreover, we find that the variance in the pollution stock also converges asymptotically to a unique steady state, which is critical for prevention of irreversible environmental consequences. We show that environmental uncertainty affects inventories, leading, in the long run, to lower expected steady-state inventory stocks. We compare feedback and open-loop production policies and show that though there are losses associated with the inability to track inventory and pollution stocks accurately and thus applying the open-loop control instead of feedback, the expected long-term inventory and pollution stocks are not affected. [ABSTRACT FROM AUTHOR]

Government regulations on emission control can be broadly divided into two categories: price instruments and quantity instruments. In this paper, we develop a stylized model to compare the two instruments in the presence of market uncertainty. We find that when the emission intensity (i.e., emissions per unit of production) and the market uncertainty are both high or low, the expected social welfare under the price instruments will be higher; otherwise, the performance of the quantity instruments is comparatively better. The results are robust when incorporating firm competition and national/regional pollution damage. Afterward, we demonstrate that the government's quick‐response capability or a hybrid of the price and quantity instruments can improve the expected social welfare, especially for high‐emitting industries when the market uncertainty is intermediate. Lastly, for heterogeneous firms, we find that allowing permit trading in the quantity instrument may not be beneficial when pollution from each firm is more likely to have regional effects. [ABSTRACT FROM AUTHOR]

On‐demand manipulation of light emissions is crucial for a variety of practical applications, including bio‐imaging and optical display, etc. Within this realm, the invention of metasurfaces provides powerful light–matter interaction capabilities for the control of multitudinous emission parameters. However, due to the omnidirectional, random, and incoherent nature of photoluminescence (PL) emission, the multiplexing modulation of PL remains a challenge and is rarely realized. Here, a direction‐decoupled light‐emitting metasurface (LEM) is originally demonstrated to display dual‐channel independent incoherent‐emission images based on guided‐PL manipulation. Utilizing the wavevector differences of guided‐PL between opposite pumping directions, the LEM is designed to enable selective unidirectional emission, thereby decoupling the directional freedom for PL multiplexing and realizing dual meta‐display. Besides, the direction‐multiplexed LEM can be integrated simultaneously with pumping‐light holography for multi‐dimensional meta‐display. Such programmable unidirectional emission manipulation and direction‐multiplexed PL meta‐display approaches promise light‐emitting techniques and can potentially find applications in multiplexing display, optical storage and encryption, etc. [ABSTRACT FROM AUTHOR]

The rapid growth of cities and the increasing traffic congestion have made vehicle emissions worse, especially in developing countries. Governments worldwide are now relying on regulations and policies to manage and reduce these emissions effectively. This change in approach towards emission control is also happening in developing nations. In this study, the effects of these policy measures are quantified using a calibrated integrated traffic and emission model (AIMSUN), and two hypothetical scenarios were analyzed: one scenario is where electric vehicles (EVs) replace traditional internal combustion EVs (ICEVs) in the study area and another scenario is assuming strict implementation of Euro 4/IV emission standards. The results showed that shifting towards a higher proportion of EVs leads to significant reductions in emissions but requires increased battery consumption, highlighting the trade‐off between reducing emissions and higher energy demand. Implementing Euro 4/IV standards could considerably reduce emissions, especially from motorcycles and trucks. It suggests that focusing on these categories with a phased implementation approach could bring significant environmental benefits. Policymakers in developing countries should adopt a rounded approach instead of implementing strict policies. It is crucial for them to carefully weigh the pros and cons of policy instruments before making any decisions. This study shows how traffic micro‐simulation modeling coupled with emission models can be used in evidence‐based decision‐making. [ABSTRACT FROM AUTHOR]

The increasing Ozone (O3) concentration in various regions of China has garnered significant attention, highlighting the need to understand the mechanisms of O3 formation. This study focuses on the source apportionment of O3 in Jilin City during and after the COVID-19 lockdown countermeasure, and also the influence of anthropogenic emissions on O3 concentration. The contributions of different O3 emission sources were quantified using the Weather Research and Forecasting Community Multi-Scale Air Quality (WRF-CMAQ) model in conjunction with the Integrated Source Apportionment Method (ISAM). The results indicate a significant increase in O3 concentrations during the lockdown in Jilin City, which were particularly characterized by long-distance transportation. Transportation is identified as the primary direct source of O3 in Jilin City, with Yongji County contributing the most among the six designated regions. This study highlights variations in the causes and sources of O3 pollution among the different regions of Jilin City. Simply controlling anthropogenic emissions is inadequate for effectively managing O3 pollution and may even worsen the situation. It is more effective to focus on controlling O3's precursors. These findings improve the understanding of O3 pollution in Jilin City and provide valuable insights for developing O3 control policies. Similarly, this research is applicable to other countries and regions. [ABSTRACT FROM AUTHOR]

Pyrolysis has been identified as a possible thermal treatment process for reducing perfluoroalkyl and polyfluoroalkyl substances (PFAS) from wastewater solids, though off‐gas from the pyrolysis unit can still be a source of PFAS emissions. In this work, the fate of PFAS through a laboratory‐scale pyrolysis unit coupled with a thermal oxidizer for treatment of off‐gasses is documented. Between 91.5% and >99.9% reduction was observed through the entire system for specific compounds based on targeted analyses. Overall, the pyrolysis and thermal oxidizer system removed 99.4% of the PFAS moles introduced. Furthermore, shorter chain variants comprised the majority of reportable PFAS in the thermal oxidizer flue gas, indicating the longer chain compounds present in the dried biosolids fed to pyrolyzer decompose through the system. Practitioner Points: Thermal oxidation is a promising treatment technology for exhaust systems associated with thermal biosolids treatments.Thermal oxidation demonstrated significant degradation capabilities, with gas phase emissions comprising only 0.200% of initial PFAS concentrations to the system.Short‐chain PFAS made up a higher percent of thermal oxidizer emissions, ranging between 54.4% and 79.5% of PFAS in the exhaust on a molar basis.The possibility of recombinant PFAS formation and partial thermal decomposition of PFAS in thermal oxidation is a needed area of research. [ABSTRACT FROM AUTHOR]

In response to the frequent occurrence of impact events in isolated coal pillars between the upper (lower) mountain areas of mining areas under conditions without obvious mining disturbance, this study takes multiple isolated coal pillar impact events that occurred in Zhaolou Coal Mine and Gengcun Coal Mine as examples. It conducts a mechanism study on the creep-induced impact ground pressure of isolated coal pillars considering the time effect. The occurrence of such impact ground pressure accidents often exhibits significant "lag" and "spontaneity". Due to the unclear mechanism of occurrence and the difficulty in grasping the unloading timing, this type of impact ground pressure has become a typical hidden disaster, posing a serious threat to the deep mining of coal mines. Based on the analysis of the creep mechanical properties of coal and rock mass, the uniaxial compression acoustic emission creep test of coal body, and the FLAC3D numerical simulation, a creep instability impact mechanical model of coal and rock mass is established. This model reveals the mechanism of creep instability impact and the stress evolution law of coal and rock mass during creep. The mechanical and energy criteria for the occurrence of impact ground pressure in isolated coal pillars under the action of unstable creep are proposed. The study shows that the action of high ground stress is a necessary condition for the occurrence of "lag-type" impact ground pressure in isolated coal pillars. Long-term unstable creep will weaken the support strength of the entry. When the elastic energy accumulated in the isolated coal pillar exceeds its ultimate bearing capacity, impact instability will occur. Based on the mechanism of occurrence of such impact accidents, targeted deep hole blasting unloading measures are proposed, providing a good reference value for the prevention and control of "lag-type" impact ground pressure accidents in isolated coal pillars. [ABSTRACT FROM AUTHOR]

To achieve carbon neutrality for China, the transmission mechanism, path, diffusion effect,and allocation of Emission Reduction Targets (ERT) among industries must be investigated. Setting short-term ERT will create a reverse pressure mechanism for the industry's carbon reduction, ensuring the achievement of carbon emission control target. However, few studies have explored how to influence the entire system by controlling key industries from the perspective of network control. Therefore, this study investigates Inter-industry Carbon Emission Transfer (ICET) in China from 1997 to 2017,and found that ICET can achieve fair distribution of ERT. Inspired by the controllability theory of complex networks to integrate the driving factors, the transmission paths, diffusion effects, and allocation of ERT into a unified analytical framework. Then, breaking the traditional top-down hierarchical decomposition mechanism and transforming it into a bottom-up target forcing mechanism, a decomposition algorithm for the total control target was proposed.The results reveal that ICET accounts for the majority of carbon emission. The characteristics of network structure have a significant impact on the ICET.Different industries have varying control capabilities. Compared with industry-wide control, target control on the Minimum Control Industry Set (MCMCS) has a slightly worse emission reduction effect, but the economic loss is smaller, making it an effective policy choice. [ABSTRACT FROM AUTHOR]

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Researchers demonstrated that implementing new combustion technology and optimising fuel quantity results in a significant reduction in traditional fossil fuel usage and emission levels. The Reactivity Controlled Compression Ignition (RCCI) combustion strategy is one of the low temperature combustion technologies, and it is used to reduce the overall combustion temperature while also providing better combustion control. This study looks into RCCI combustion technology, which uses conventional diesel fuel as the high reactivity fuel (HRF) injected through the injector and acetylene gas as the low reactivity fuel (LRF) injected into the cylinder via a modified inlet manifold alongside air. The modified engine setup was tested for performance, emissions, and combustion under various load conditions, as well as different mass flow rates of acetylene gas, a low reactivity fuel that is injected with air. The flow field of the low reactivity fuel at the inlet manifold is analysed using the Computational Fluid Dynamics principle, which is used to determine the best flow rate for improving combustion quality. According to the simulation results, the optimal acetylene flow rate is 3 Litres Per Minute (LPM), and experimentation shows that at 3 LPM acetylene injection, the brake thermal efficiency (BTE) improves by about 3.2%, and emissions such as carbon monoxide (CO), hydrocarbon (HC), smoke intensity, and oxides of nitrogen (NOx) are reduced by about 35%, 17%, 10%, and 21%, respectively. [ABSTRACT FROM AUTHOR]

Water in the engine/combustion chamber is not a novel phenomenon. Even humidity has a major effect on internal combustion engine emissions and can thus be considered the first invisibly present emission technology. With modern techniques, the problematic aspects of water, such as corrosion and lubrication issues, seem to disappear, and the benefits of water's effect in combustion may also be enhanced in the context of EURO 7. The current study examines the literature on the effects of water on diesel combustion in chronological sequence, focusing on changes over the last three decades. Then it analyzes and re-evaluates the water effect in the current technology and the forthcoming Euro 7 regulatory context, comparing the conclusions with current automotive applications and mobility trends, in order to show the possible benefits and prospective research avenues in this sector. Techniques introducing water to combustion could be a major approach in terms of the EURO 7 retrofit mandate, as well as a feasible technique for concurrent nitrogen oxides and particulate reduction. [ABSTRACT FROM AUTHOR]

Simple Summary: In contrast to a conventional layer diet with the same nutrient content during the day, morning and afternoon feeds with different compositions are fed in a split feeding system. This system is based on the sequential need for energy, amino acids, and calcium during egg formation and might be suitable to decrease the intake and emission of nitrogen and develop a more sustainable nutrition plan for laying hens. Therefore, our study investigated the reduced or low crude protein and adjusted amino acid supply of laying hens in a split feeding system. The investigated split system resulted in a similar egg production with reduced protein intake, a more favorable feed conversion ratio, increased eggshell thickness, better digestibility of some amino acids, and a decreased nitrogen emission compared to conventional feeding. The decrease in the crude protein content of both morning and afternoon diets by 2% while maintaining important essential amino acid levels constantly led to a decreased protein intake, higher laying rate, lower egg weight, and similar nitrogen emissions of laying hens. Two model experiments were conducted to investigate the different protein and amino acid supply of laying hens fed split feeding (SF) diets. In Experiment 1, one conventional (C) and one SF dietary treatment were established, and the diets were implemented for 12 weeks. The concentrations of crude protein, SID Lys, Met, Met + Cys Arg, Val, Thr, Leu, Ile, and Trp of the SF morning diet were the same as in the C diet. The crude protein content of the SF afternoon diet was lower (92%), while the SID values of Lys, Met, Met + Cys were identical compared to the C diet (100%). The SF treatment resulted in a reduced protein/N intake, better feed conversion ratio, higher eggshell thickness and apparent ileal digestibility of Asp, Leu, Lys, Gly, and Ser, and lower concentration of N forms (total, fecal, NH4+, uric acid, urinary) in the excreta compared to the C treatment. In Experiment 2, a control and a low protein (−2% crude protein but the same SID values of Lys, Met, Met + Cys, Thr, Val) SF treatment were compared for 6 weeks. The low protein SF treatment led to a decreased protein/N intake, higher laying rate, lower egg weight, higher ileal digestibility of Ala, Asp, Leu, and Ile, and similar N emission compared to the control SF treatment. [ABSTRACT FROM AUTHOR]

High levels of particulate matters in the air are a major health issue in Middle East leading to adverse health effects. In this study, we have simultaneously investigated (i) the spatio-temporal distribution of ambient particulate matters in a city located in the Middle East (Khorramabad) over the time period 2021–2022; and (ii) PM2.5 and PM10-related carcinogenic and non-carcinogenic risk assessment to exposure. For the risk assessment, hourly PM2.5 and PM10 data were obtained from three monitoring stations located in the city. A methodology for risk assessment recommended by the United State Environmental Protection Agency was used for all age groups. The excess lifetime cancer risk (ELCR) and the hazard quotient (HQ) were estimated, and the backward trajectories were assessed by the Hybrid Single-Particle Lagrangian Integrated Trajectory model. The Aerosol Optical Depth from 0 to 1000 nm was applied to observe the variations of atmospheric aerosols. The results showed that the annual PM2.5 and PM10 mean concentrations during 2021 and 2022 were exceeded the World Health Organization limit value for human health protection. In 2021 and 2022, 2.2-148.3 and 1.3-134.4 cancers per 1,000,000 inhabitants can be related to ambient PM2.5 exposure. The HQ values for PM2.5 and PM10 were 4.7 and 1.3 in 2021, and 3.8 and 1.1 in 2022, i.e., the risk for human health is expected. To reduce the adverse health effects related to particulate matters, air emissions control strategies are required. [ABSTRACT FROM AUTHOR]

River networks contribute disproportionately to the global carbon cycle. However, global estimates of carbon emissions from inland waters are based on perennial rivers, even though more than half of the world's river length is prone to drying. We quantified CO2 and CH4 emissions from flowing water and dry riverbeds across six European drying river networks (DRNs, 120 reaches) and three seasons and identified drivers of emissions using local and regional variables. Drivers of emissions from flowing water differed between perennial and non‐perennial reaches, both CO2 and CH4 emissions were controlled partly by the annual drying severity, reflecting a drying legacy effect. Upscaled CO2 emissions for the six DRNs at the annual scale revealed that dry riverbeds contributed up to 77% of the annual emissions, calling for an urgent need to include non‐perennial rivers in global estimates of greenhouse gas emissions. [ABSTRACT FROM AUTHOR]

Classifying emission reduction zones on different scales has important implications for the ecological protection and high‐quality development of the Yellow River Basin. Based on remote sensing data and a light‐carbon conversion model, carbon footprints at provincial, municipal, and county scales in the Yellow River Basin are measured. The spatiotemporal evolution critical paths of carbon footprints at the three spatial scales are compared and classified into different zones using spatiotemporal evolution analysis methods. The conclusions are as follows: (1) The carbon footprint increased over the years. The spatial distributions of carbon footprints at the three scales are not only consistent but also different. The study of carbon footprints at the county scale is more conducive to the summary of the spatiotemporal evolution and the formulation of detailed emission reduction schemes. (2) Four provinces, 48 cities, and 373 counties are designated as a "core protected zone"; three provinces, 29 cities, and 177 counties are designated as a "strictly governed zone"; one province, 12 cities, and 47 counties are designated as a "key restricted zone"; four cities and 39 counties are designated as an "alert diffusion zone." (3) The agglomeration expansion trend and the spillover effect of high‐carbon footprint units at the county scale are more obvious. Further enhancement of the path‐locking characteristics of the carbon footprints of counties will make governance more difficult. Effective governance of carbon footprint at the county scale is of urgent concern. These results provide scientific evidence for multiscale carbon emission control and zoning policy formulation in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Reducing carbon dioxide emissions is one of the largest energy and environmental challenges currently faced globally. To achieve carbon neutrality, the development of new technologies and simultaneous improvement of conventional technologies are required. Catalysis, which determines the success or failure and efficiency of the process, is at the center of addressing these problems. Innovative advancements in catalysis have been accomplished through the extensive research on catalytic materials. Oxygen storage materials with oxygen storage capacity (OSC) have been widely applied in supports and active cocatalysts for energy and environmental catalytic applications. This review provides knowledge on the extended applications (reforming, water-gas shift reaction, and partial oxidation of methane (POM) for high-value-added chemicals, including hydrogen production, deoxygenation of fatty acids for second-generation biofuel production, selective catalytic reduction of NOx with NH3, hydrocarbon (HCs) oxidation for emission control, CO oxidation for vehicle exhaust control and purification of gaseous product fuel, and soot oxidation for the removal of motor-type pollutants) of these materials, which are mainly used as three-way catalysts (TWC) in automotive catalysis, to the carbon-neutral field. In particular, this study focuses on the physico-chemical properties that are closely synergistic with OSC, such as reducibility, dispersion, surface acid/base properties, and physical properties, such as surface structure or morphology. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to ascertain the anthropogenic effects resulting from the extraction and processing of fluorite. Specifically, it aims to analyze and quantify the relationship between fluoride content in different areas influenced by industrial production and agricultural activities, and to examine the health effects arising from chronic fluoride exposure in affected populations in China with comperison of neighborhood country Pakistan. Methods: A cross-sectional survey was conducted with 579 participants, categorized into high, moderate, and low fluoride exposure groups. Participants completed a 35-item questionnaire covering environmental, medical, and industrial dimensions. Data were analyzed using SPSS 22, employing chi-square tests to determine significant associations between fluoride exposure and health outcomes. Results: High fluoride exposure was associated with significant health issues: 70% prevalence of dental fluorosis, 65% skeletal fluorosis, and 60% cognitive impairments. The study found inconsistent implementation of emission control technologies among industrialists, with only 70% fully adopting such measures. These findings underscore the need for better regulatory compliance and public health interventions. Conclusions: The study concludes that industrial and agricultural activities substantially contribute to fluoride contamination, causing severe health problems. Effective mitigation requires stringent regulations, advanced emission control technologies, and robust public awareness campaigns. Future research should involve longitudinal studies and include more stakeholders, particularly from the agricultural sector. [ABSTRACT FROM AUTHOR]

In this paper, the unconventional light‐matter interactions between giant atoms and structured baths (i.e., lattices) are studied with either Hermitian or non‐Hermitian next‐nearest‐neighbor coupling terms. Essentially different dynamics of the atoms and the propagating field in the Hermitian and non‐Hermitian cases is revealed, which can be further engineered by tuning parameters such as the atomic transition frequency and the (synthetic) magnetic field associated to the coupling terms. The next‐nearest‐neighbor couplings play an important role in controlling the emission direction and the field distribution in the lattice, thus providing opportunities for tailoring exotic dipole–dipole interactions. The results in this paper have potential applications in, e.g., engineering unconventional quantum networks and simulating quantum many‐body systems. [ABSTRACT FROM AUTHOR]

Rock-burst prediction is an important issue faced by deep coal mining operations and holds significant significance for ensuring the safety of workers and the sustainable development of mines. This study investigates the crack-propagation behavior of coal and magnetite under uniaxial compression, introduces the characteristic parameter γ within the framework of the flicker noise spectrum (FNS), analyzes the trends in the variation of acoustic emission (AE) b-value and γ-value, and explores the relationship between these two parameters. Experimental results reveal that the proportion of tensile cracks is significantly higher than shear cracks during the loading process, shear failure becomes the main factor as the specimen approaches failure. Both the b-value and γ-value are proven to effectively reflect the damage evolution process of coal and magnetite and exhibit noticeable changes prior to collapse. Specifically, the peak γ-value serves as a precursor indicator for coal and magnetite collapse. Furthermore, this study uncovers a negative linear relationship between the b-value and γ-value. By delving into the feature parameter γ of AE signals, this research offers a new perspective and approach for predicting the instability of coal and magnetite formations and monitoring dynamic hazards. It contributes to a better understanding of the damage evolution process of coal and magnetite formations and provides valuable guidance and reference for preventing and mitigating dynamic hazards associated with coal and magnetite. Highlights: A novel monitoring indicator for coal and magnetite dynamic hazards, known as the γ-value, was introduced within the framework of the Flicker Noise Spectroscopy method. The study revealed a notable negative linear correlation between the b-value and the γ-value derived from acoustic emission signals. Experimental and on-site data have demonstrated that b-value and γ-value can effectively prevent rock burst. [ABSTRACT FROM AUTHOR]

Understanding the acoustic repertoire of a species is crucial for comprehending its ecology and can also provide a valuable tool in the analysis of passive acoustic monitoring data. Despite being the most abundant seal species in the Arctic, the call repertoire of ringed seals (Pusa hispida) remains poorly studied. This paper aims to provide a comprehensive and quantitative description of the calls produced by ringed seals. Data collection occurred in May 2022 near Ulukhaktok in the Western Canadian Arctic. Acoustic recorders were deployed in cracks in the sea ice that were regularly used by ringed seals as haul-out areas. All calls were counted and classified into one of three categories: yelps, barks and growls. High-quality calls were further analysed with ten acoustic parameters calculated for each signal. Cluster and classification and regression tree (CART) analyses were used to assess if the visual classification of calls was supported by the acoustic parameters calculated. The cluster and CART analyses affirmed the presence of all three distinct call types in the ringed seal acoustic repertoire. Classification of unseen calls using the CART model demonstrated an accuracy of 98%. The findings presented here serve as foundational information on the acoustic repertoire of ringed seals. [ABSTRACT FROM AUTHOR]

Maritime transport is the most widely used means of transporting goods, and forecasts indicate that it will continue to grow in the coming years, which is why the IMO is regulating energy efficiency and emissions from maritime transport with exhaustive monitoring. The most widely used measure of energy efficiency during operation on a ship is the Energy Efficiency Operational Indicator (EEOI); however, the difficulty in obtaining references for this indicator, together with the great variability that exists between shipowners when choosing terms such as "cargo transported", among others, means that this operational indicator of energy efficiency in ships does not have the expected results. This work develops a two-phase procedure for the selection of representative EEOI values for ships, taking into account parameters such as ship speed, cargo, mode of operation and the subsequent determination of a suitable control system that allows the continuous and real-time implementation of measures to improve energy and environmental efficiency on the ship. The proposed final procedure is effective in terms of improving energy efficiency and emissions, on top of being simple, easily implementable, working in real time and adapting to navigation circumstances while keeping emissions under control. [ABSTRACT FROM AUTHOR]

The combination of acoustic emission and electrical potential monitoring methods holds promise for monitoring and warning of rock bursts due to its comprehensive reflection of the damage process. However, the response features during the creep failure process remain unclear. In this paper, a coal creep test was conducted using a combination of electric potential and acoustic emission monitoring. The response characteristics were analyzed, their multifractal characteristics were analyzed, and the joint response mechanism was explored. This research demonstrated a significant correlation among acoustic emission and electrical potential signals and creep deformation and failure. At the start of loading, a brief increase in both signals was observed. As deformation progressed, the signals became steady, and their intensity and fluctuation notably increased during accelerated creep failure. Quantitative analysis of acoustic emission count rates and electric potential intensity during creep processes revealed a quadratic relationship of acoustic emission count rates with stress and strain variations, in addition to an exponential correlation with mean electric potential intensity. Additionally, the statistical analysis of the multifractal characteristics before coal sample instability and failure revealed consistent trends in the characteristic values of Δα and Δf(α), with initial decrease followed by slight fluctuations, culminating in a sudden abnormal change preceding failure. Finally, leveraging the mechanisms of acoustic emission and electrification under load, this study discusses the multifractal characteristics of acoustic-electric signals and verifies their complementary roles in accurately predicting coal rock creep failure. These studies provide essential theoretical groundwork and references for improving dynamic disaster monitoring in coal mines. [ABSTRACT FROM AUTHOR]

Previous studies suggest that Programs to Control Vehicular Emission (PCVE) restrictions have succeeded in improving air quality. However, evidence about PCVE's long-term effects in developing countries in the Southern Hemisphere is still lacking. We analyzed the influence of PCVE restrictions on PM2.5 changes under vehicular fleet growth scenarios in Brazil. Our results show an increase in PM2.5 concentrations (up to 14%) aligned with an intensive increase (more than 70%) in the vehicular fleet between 2001 and 2010. During this period, we detected a similar pattern in more than 50% of urban spots in the South-East and other large urban centers in the South and Mid-West regions. Between 2011 and 2020, the stabilization or reduction of PM2.5 is associated with a fleet growth smoothing combined with the continuous restrictions of PCVE. This work highlights the importance of planning and limiting fleet growth beyond vehicular technological improvement and emission factor restrictions. Trends and drivers of PM2.5 surface concentrations in Brazil. [ABSTRACT FROM AUTHOR]

Agricultural 5.0 (a5.0) and Industry 5.0 (i5.0) both frameworks play a crucial role in achieving sustainable development (SD) by promoting efficiency and sustainability from the corporate and agricultural perspective. Industry 5.0 enhances industrial processes through automation and data‐driven decision‐making by reducing resource consumption and emissions control practices. However, agricultural 5.0 employs certain technologies to optimize farming practices, minimize waste, and improve food production by contributing to SD. The study attempts to explore the relationship between i5.0 and SD using three major streams (i.e., economic perspective, environmental perspective, and social perspective) based on instrumental‐stakeholder theory standpoints. Second, the study investigates the connections between a5.0 and SD. Finally, a moderating influence of environmental policy (ENP) was examined between the connections of a5.0, i5.0, and SD. Data were carefully collected and organized by implementing a structural approach using SmartPls tool based on seven hundred and forty‐nine responses (N = 749). The results confirmed a positive impact of a5.0 on SD along with each dimension. Likewise, a positive nexus between i5.0 model and SD was observed. Finally, the study confirmed a positive moderation of ENP, respectively. This study provided insights into both models showing that these models promote sustainability, vital for a greener and support bringing SD, that is, social, economic, and environmental. ENP acts as a crucial moderator among i5.0, a5.0, and SD that ensures alignment with SDGs. [ABSTRACT FROM AUTHOR]

This comprehensive work addresses the pressing environmental concerns associated with the automotive industry's expansion and its reliance on fossil fuels. Focusing on the pivotal role of energy in vehicle propulsion, the paper explores diverse energy utilization methods and their conversion into mechanical energy for mobility. While chemical energy currently powers most vehicles, it contributes to detrimental emissions, necessitating innovations to enhance fuel quality, engine design, and materials. The research emphasizes refining the performance, and life cycle, and minimizing exhaust emissions of internal combustion engines. A key focus of this paper is the proposal of a novel approach that advocates the application of coatings to the combustion surface and catalytic converter to bolster engine performance and curtail emissions. The researchers highlight the efficacy of metal coatings, including thermal barrier coatings and catalytic coatings, presenting a comprehensive overview of experimental research articles endorsing the positive impact of metal coating strategies. These coatings aim to enhance combustion dynamics, manage thermal stresses, and optimize catalytic converter efficiency. In this technical paper offers valuable insights for researchers and engineers committed to mitigating the environmental impact of the automotive industry. It underscores the critical need for optimizing engine performance and minimizing emissions, with a specific emphasis on the promising potential of metal coating technologies to significantly contribute to these overarching objectives. [ABSTRACT FROM AUTHOR]

Rapidly changing permafrost landscapes are a potential key terrestrial source of greenhouse gases (GHGs) at a global scale, yet, remain poorly characterized regarding GHG origins and environmental controls on emissions. Subsurface ice wedges, commonly found across many permafrost landscapes, harbor GHG‐rich gas bubbles. Analyzing these bubbles aids comprehension of subzero temperature GHG formation in permafrost. The Batagay megaslump, Earth's largest known thaw slump in northern Yakutia, provides an opportunity to study mixing ratios and isotopic compositions of both GHGs and non‐GHG in ice wedge samples from two stratigraphic units: the Upper Ice Complex (UIC) and the Lower Ice Complex (LIC). The Ar/N2/O2 compositions and bubble shapes indicated that the studied ice wedges were likely formed through dry snow and/or hoarfrost compaction, and microbial activity remained active after ice wedge formation. The high CO2 and CH4 mixing ratios and carbon stable isotope values suggested that CO2 and CH4 primarily originated from microbial sources. N2O showed an "exclusive relation" with CH4—meaning that high N2O is observed only when CH4 is low, and vice versa—and N2O mixing ratios vary at different depths. These findings suggest that GHG formation in ice wedges is not solely controlled by physiochemical conditions, but involves a complex interplay between microbial activity and environmental conditions. Our study contributes to a better understanding of the dynamics involved in GHG formation within degrading permafrost landscapes. [ABSTRACT FROM AUTHOR]

• Remarkable spatiotemporal pattern of N2O concentrations and fluxes were observed. • Factors controlling N2O emission vary across lake zones and seasons. • Seasonally frozen eutrophic shallow lakes in cold regions can be a source of N2O. • Northern part of the lake near the drained inlet is a "hotspots" for N2O emission. Eutrophic shallow lakes are generally considered as a contributor to the emission of nitrous oxide (N 2 O), while regional and global estimates have remained imprecise. This due to a lack of data and insufficient understanding of the multiple contributing factors. This study characterized the spatiotemporal variability in N 2 O concentrations and N 2 O diffusive fluxes and the contributing factors in Lake Wuliangsuhai, a typical shallow eutrophic and seasonally frozen lake in Inner Mongolia with cold and arid climate. Dissolved N 2 O concentrations of the lake exhibited a range of 4.5 to 101.2 nmol/L, displaying significant spatiotemporal variations. The lowest and highest concentrations were measured in summer and winter, respectively. The spatial distribution of N 2 O flux was consistent with that of N 2 O concentrations. Additionally, the hotspots of N 2 O emissions were detected within close to the main inflow of lake. The wide spatial and temporal variation in N 2 O emissions indicate the complexity and its relative importance of factors influencing emissions. N 2 O emissions in different lake zones and seasons were regulated by diverse factors. Factors influencing the spatial and temporal distribution of N 2 O concentrations and fluxes were identified as WT, WD, DO, Chl-a, SD and COD. Interestingly, the same factor demonstrated opposing effects on N 2 O emission in various seasons or zones. This research improves our understanding of N 2 O emissions in shallow eutrophic lakes in cold and arid areas. [Display omitted] [ABSTRACT FROM AUTHOR]

The emission of heavy-duty vehicles has raised great concerns worldwide. The complex working and loading conditions, which may differ a lot from PEMS tests, raised new challenges to the supervision and control of emissions, especially during real-world applications. On-board diagnostics (OBD) technology with data exchange enabled and strengthened the monitoring of emissions from a large number of heavy-duty diesel vehicles. This paper presents an analysis of the OBD data collected from more than 800 city and highway heavy-duty vehicles in China using remote OBD data terminals. Real-world NO x and CO 2 emissions of China-6 heavy-duty vehicles have been examined. The results showed that city heavy-duty vehicles had higher NO x emission levels, which was mostly due to longer time of low SCR temperatures below 180°C. The application of novel methods based on 3B-MAW also found that heavy-duty diesel vehicles tended to have high NO x emissions at idle. Also, little difference had been found in work-based CO 2 emissions, and this may be due to no major difference were found in occupancies of hot running. [ABSTRACT FROM AUTHOR]

• Ultrasonic humidifier aerosols (UHA) enrich and transfer many heavy metals from water to the air. • ∼90% of the UHA carry electrical charges. • These aerosols can be readily removed in a simple electric field generated at a household voltage. Ultrasonic humidifiers are commonly used in households to maintain indoor humidity and generate a large number of droplets or spray aerosols. However, there have been various health concerns associated with humidifier use, largely due to aerosols generated during operation. Here, we investigated the size distribution, chemical composition, and charged fraction of aerosol particles emitted from commercial ultrasonic humidifiers. Heavy metals in water used for humidifiers were found to be highly enriched in the ultrasonic humidifier aerosols (UHA), with the enrichment factors ranging from 102 to 107. This enrichment may pose health concerns for the building occupants, as UHA concentrations of up to 106 particles/cm3 or 3 mg/m3 were observed. Furthermore, approximately 90% of UHA were observed to be electrically charged, for the first time according to our knowledge. Based on this discovery, we proposed and tested a new method to remove UHA by using a simple electrical field. The designed electrical field in this work can efficiently remove 81.4% of UHA. Therefore, applying this electrical field could be an effective method to significantly reduce the health risks by UHA. [ABSTRACT FROM AUTHOR]

• Control technology & measures of diesel truck emissions in China are introduced. • Comprehensive application of control technology & measures in BTHs are evaluated. • Remote online monitoring technology has been applied to HDDTs. • Transportation structure adjustment is proposed to reduce road emissions. • Peak-alternation transportation in heavy pollution weather is introduced. Chinese diesel trucks are the main contributors to NO x and particulate matter (PM) vehicle emissions. An increase in diesel trucks could aggravate air pollution and damage human health. The Chinese government has recently implemented a series of emission control technologies and measures for air quality improvement. This paper summarizes recent control technologies and measures for diesel truck emissions in China and introduces the comprehensive application of control technologies and measures in Beijing-Tianjin-Hebei and surrounding regions. Remote online monitoring technology has been adopted according to the China VI standard for heavy-duty diesel trucks, and control measures such as transportation structure adjustment and heavy pollution enterprise classification control continue to support the battle action plan for pollution control. Perspectives and suggestions are provided for promoting pollution control and supervision of diesel truck emissions: adhere to the concept of overall management and control, vigorously promote the application of systematic and technological means in emission monitoring, continuously facilitate cargo transportation structure adjustment and promote new energy freight vehicles. This paper aims to accelerate the implementation of control technologies and measures throughout China. China is endeavouring to control diesel truck exhaust pollution. China is willing to cooperate with the world to protect the global ecological environment. [ABSTRACT FROM AUTHOR]

As the backbone of the international seaborne trade, the pollution and emission from shipping are highly concerned by governments and international organizations as well. The International Maritime Organization has designated five emission control areas (ECAs) to limit sulfur oxides emissions of ships. Meanwhile, the European Union has included the shipping industry in the EU Emission Trading System since 2024 to control their carbon emissions. The strategies like switching fuel, installing scrubber or detour, are commonly used to comply with the ECA regulation, but they may increase carbon emissions and possibly incur extra carbon trading cost. In this case, the shipping company should investigate the influence of marine emission trading system (METS) on emission reduction strategies used under ECA regulation. Therefore, this paper focuses on this problem and formulates it as a mixed-integer nonlinear programming model. Several numerical experiments are conducted to show the applicability of the proposed model. The results show that ship's detour behavior is inevitable under the ECA regulation, which incurs more carbon emissions. When METS regulation is not considered, the optimal emission reduction strategy is installing scrubber. In contrast, when METS regulation is considered, the optimal choice may be installing scrubber or fuel switching depending on different sailing route, which indicates the effect of METS on ship emission reduction strategy. Moreover, the fleet deployment and sailing speed of scrubber installation strategy are affected by METS regulation, while the strategies of fuel switching and using LNG-powered ship are almost unaffected. This indicates that installing scrubber is more easily affected by emission control policies. • Jointly optimize the ship's energy strategy and scheduling under ECA regulation. • Investigate the effect of METS on optimal solutions under ECA regulation. • Shipping company should re-optimize his energy strategy and ship scheduling plan under both ECA and METS regulation. [ABSTRACT FROM AUTHOR]

Recent advancements in landfill designs integrate vegetated covers as a sustainable layer to mitigate methane emissions. In this study, we developed a comprehensive analytical model incorporating diffusion, advection, oxidation, and root effects on methane and oxygen transport through landfill green covers. Root characteristics, including architecture, gas conductivity, depth, and density, were found to be influential parameters on methane oxidation and emission in vegetated covers. For example, at 0.4-m root depth, exponential versus uniform root distribution yields a 0.1221 difference in methane concentration for a root density of 105 m/m3. Roots with 3×10−5 m air/m root gas conductivity achieved 13.3% methane oxidation efficiency. Increasing root depth and density extended the aerobic zone, but CH4 oxidation efficiency declined beyond the root density of 104 m/m3. We showed that vegetation cover elevates methane emission control, potentially meeting emission standards [e.g., carbon farming initiative (CFI)] with root densities exceeding 104 m/m3. The balance between atmospheric oxygen and soil methane affects oxidation, with higher air transport (λ=3×10−4 m air/m root) resulting in 1.8% less methane oxidized. Overall, root–methane dynamics analysis should be optimized for efficient methane mitigation and control through landfill green cover systems. [ABSTRACT FROM AUTHOR]

[Introduction] The gas turbine generator set (GE-PG9351FA) with a DLN2.0 + burner and a designed NOx emission concentration of 50 mg/m3 is used in a gas turbine power plant. During the warm-up periods, the generator set emitted a large amount of yellow smoke, which violates provisions stipulated in the "Emission Standard for Air Pollutants from Thermal Power Plants" (GB 13223—2011) and is complained by the surrounding residents. According to the new emission regulations for environmental protection in Jiangsu, starting from January 1, 2023, the converted NOx emission average throughout the operation period should be less than 30 mg/m3. In order to meet this requirement and reduce the emission of yellow nitrate smoke during start-up, the renovated SCR denitration technology for the flue gas of the HRSG (Heat Recovery Steam Generator) is adopted. Data simulation, deduction, analysis and summarization of various indicators are conducted during the start-up process to refine a reasonable startup operation method. [Method] To validate the feasibility of this method, the power plant conducted multiple peak shaving start-up process operation tests. Based on the actual NOx emission characteristics, adjustments were made to the start-up point, gas turbine load control, and input nodes for the SCR system in the operation method. This process resulted in an optimized operational strategy. [Result] The test results show that by optimizing the SCR denitration system input point, gas turbine start-up point and warm-up load after grid connection, the converted NOx emission average throughout the operation period is less than 30 mg/m3, and the phenomenon of yellow nitrate smoke disappeared. [Conclusion] This strategy is based on the characteristics of NOx and yellow nitrate smoke emission during the gas turbine start-up process. Afterward, through data deduction and numerous experiments for validation, it can provide direct guidance for reducing yellow nitrate smoke emission during the start-up process of similar gas turbines. Additionally, it can serve as an analytical reference for controlling NOx emissions during peak shaving operations in gas turbine power plants.

Flue Gas Desulfurization (FGD) is pivotal in reducing Sulfur Dioxide (SO2) concentrations through neutralization. This study explored dry FGD modeling using Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). The independent parameters used were diatomite to Ca(OH)2 ratio, hydration time, hydration temperature, SO2 concentration, and sulfation temperature, while the output responses incorporated were sulfation efficiency () and sorbent conversion (). ANN simulations employed the Levenberg-Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG) algorithms with 7 to 10 hidden cells. The sigmoid and linear functions served as trigger mechanisms. ANFIS models, utilizing grid partitioning and subtractive clustering, were trained with hybrid and backpropagation methods. Seven ANFIS membership functions were compared for the best-fit model. The computing models were critiqued using RMSE, MSE, and R2 statistical metrics. Numerical error analysis favored the ANN program, with BR exhibiting the highest R2 values (0.9987 for , 0.9986 for ). However, the SCG algorithm emerged as the most dependable model due to its lowest RMSE and MSE values. In contrast, the ANFIS model demonstrated inferior R2 values and forecasting capabilities. This investigation provided nuanced insights into dry FGD modeling, elucidating the interplay between computational methodologies and process parameters.

The powerful capability of multi‐stimulus‐responsive fluorescent hydrogen‐bonded organic frameworks (HOFs) to respond to external chemical or physical stimuli in various manners makes them appealing in advanced information encryption. However, it is still a global challenge to manipulate the fluorescence properties finely to achieve dynamic fluorescence properties in the time dimension. Here, a feasible strategy is shown to control the emission of materials by introducing a common SP photochromic compound (1′, 3′, 3′‐trimethyl‐6‐nitro‐spiro‐ [chromene‐2, 2′‐indoline]) into functionalized HOFs, to finely manipulate the fluorescence properties. Two kinds of HOFs are successfully synthesized by modifying the unbonded carboxylic group of HOFs with Tb3+ or 5‐hexene‐1‐ol termed Tb‐HOFs and HOF‐olefin, respectively. Then, spiropyran is loaded into the Tb‐HOFs or HOFs‐olefin and dynamic fluorescence emission can be well controlled by changing the lanthanide dopants and light stimulation time. Relying on the dynamic fluorescence emission, the multilevel information encryption including anti‐counterfeiting ink, QR code, base code, and time‐resolved information storage has been successfully demonstrated, and the security level has been greatly improved. This work opens an avenue for achieving time‐resolved information storage technology, where the “time factor” is equivalent to a dynamic key, which introduces countless unpredictable possibilities and makes imitation more challenging. [ABSTRACT FROM AUTHOR]

Under the guidance of energy-saving and emission reduction goals, a low-carbon economic operation method for integrated energy systems (IES) has been proposed. This strategy aims to enhance energy utilization efficiency, bolster equipment operational flexibility, and significantly cut down on carbon emissions from the IES. Firstly, a thorough exploration of the two-stage operational framework of Power-to-Gas (P2G) technology is conducted. Electrolyzers, methane reactors, and hydrogen fuel cells (HFCs) are introduced as replacements for traditional P2G equipment, with the objective of harnessing the multiple benefits of hydrogen energy. Secondly, a cogeneration and HFC operational strategy with adjustable heat-to-electricity ratio is introduced to further enhance the IES's low-carbon and economic performance. Finally, a step-by-step carbon trading mechanism is introduced to effectively steer the IES towards carbon emission control. [ABSTRACT FROM AUTHOR]

Dust records extracted from ice cores can facilitate the reconstruction of historical atmospheric dust levels and climate change. However, interpreting dust variations in ice cores is intricate because of the compounded influence of emission, transport, and deposition processes. This study investigated dust records retrieved from the Guliya ice cap drilled in 2015 on the West Tibetan Plateau using a mean trajectory transport and deposition model. Results showed that the Guliya dust concentration has exhibited a declining trend since the 1960s (−751 μg kg−1 yr−1). Applying an attribution approach, we discovered that low dust emission (80.3%) was the main cause of the drop in dust concentration, with changes related to transportation (5.2%) and deposition (14.5%) making only minor contributions. The weakening of surface wind speed in the desert and increasing precipitation in both the desert and glacier were the primary factors driving the decrease in Guliya dust concentration. Plain Language Summary: Dust emission, transport, and deposition processes are the key factors influencing the dust record in an ice core. Consequently, relying solely on ice core records may not be sufficient for the accurate reconstruction of past desertification processes and the evolution of the climate and environment. In this study, we endeavored to separate these complex processes from the Guliya ice core records on the Tibetan Plateau by integrating a transport model, thereby quantifying the impact of these processes on ice core records over the past 50 years. We found that the dust concentration changes in the Guliya ice core were primarily attributed to changes in dust emission strength, with a secondary influence of deposition and transport changes. This study can enhance the scientific interpretation of dust records preserved in ice cores, providing novel insights for a deeper comprehension of the climate and environmental evolution of the Tibetan Plateau. Key Points: The dust concentration in the Guliya ice core has decreased over the past 50 yearsThe decreasing trend of Guliya dust is primarily controlled by the emission process in the Taklimakan DesertThe principal drivers behind the reduction in Guliya dust were decreased surface wind speed and increased precipitation [ABSTRACT FROM AUTHOR]